Dani Yogatama
39 papers · 2009–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (62) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Mega-Team · Legion
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Keyword Pioneer
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Keyword Trendsetter Combo
(5)
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Conference Pioneer
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Unstoppable · Silver
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The Questioner
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Prolific Year · Productive
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Century Club · Bronze
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Trend Setter
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Research topics
Machine Learning
(23)
Deep Learning
(15)
Natural Language Processing
(14)
Artificial Intelligence
(11)
Optimization & Theory · Machine Learning
(10)
Core AI
(8)
Learning Types · Deep Learning
(8)
Architectures
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Core Methods
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Application Areas
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Applications
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Learning Types · Machine Learning
(5)
Optimization & Theory · Deep Learning
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Generation
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Learning Paradigms
(4)
Keywords
language model
(7)
question answering
(3)
recurrent neural network
(3)
language modeling
(3)
neural network
(3)
large language model
(2)
masked language modeling
(2)
transformer model
(2)
semantic representation
(2)
scaling law
(2)
transfer learning
(2)
transformer architecture
(2)
word embedding
(2)
subject-verb agreement
(2)
in-context learning
(2)
attention mechanism
(2)
text classification
(2)
cross-lingual transfer
(2)
machine translation
(2)
inference efficiency
(2)
Papers
FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale
EACL 2026
Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities
EACL 2026
DeLLMa: Decision Making Under Uncertainty with Large Language Models
ICLR 2025
The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval
ACL 2025
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
ICLR 2025
Interpretable Diffusion via Information Decomposition
ICLR 2024
On Retrieval Augmentation and the Limitations of Language Model Training
NAACL 2024
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
EMNLP 2023
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining
EMNLP 2023
ABC: Attention with Bounded-memory Control
ACL 2022
A Contrastive Framework for Neural Text Generation
NeurIPS 2022
Scale Efficiently: Insights from Pretraining and Finetuning Transformers
ICLR 2022
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
NeurIPS 2021
Finetuning Pretrained Transformers into RNNs
EMNLP 2021
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
NeurIPS 2021
Random Feature Attention
ICLR 2021
A Call for More Rigor in Unsupervised Cross-lingual Learning
ACL 2020
A Mutual Information Maximization Perspective of Language Representation Learning
ICLR 2020
On the Cross-lingual Transferability of Monolingual Representations
ACL 2020
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
EMNLP 2020
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
EMNLP 2019
Episodic Memory in Lifelong Language Learning
NeurIPS 2019
Variational Smoothing in Recurrent Neural Network Language Models
ICLR 2019
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
ACL 2018
Memory Architectures in Recurrent Neural Network Language Models
ICLR 2018
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
ACL 2017
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
ICML 2016
Bayesian Optimization of Text Representations
EMNLP 2015
Embedding Methods for Fine Grained Entity Type Classification
ACL 2015
Extractive Summarization by Maximizing Semantic Volume
EMNLP 2015
Learning Word Representations with Hierarchical Sparse Coding
ICML 2015
Sparse Overcomplete Word Vector Representations
ACL 2015
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
AISTATS 2014
Linguistic Structured Sparsity in Text Categorization
ACL 2014
Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers
ICML 2014
A Probabilistic Model for Canonicalizing Named Entity Mentions
ACL 2012
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
ACL 2011
Predicting a Scientific Community’s Response to an Article
EMNLP 2011
Multilingual Spectral Clustering Using Document Similarity Propagation
EMNLP 2009